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English(EN) Characterizing Questioning Patterns and Student Engagement Through Contextual Analysis of Real-Time Classroom Interactions

研究分析课堂投票以评估学生参与度和学习情况

一项发表在arXiv上的新研究分析了实时课堂互动,以更好地理解学生的参与度和提问模式。研究人员检查了来自47场现场课程的600多个投票问题,发现投票的教学功能,而非其措辞,显著影响学生的回答。研究还显示,虽然学生普遍回答正确,但他们难以准确评估自己的表现并识别最具挑战性的问题。 AI

排序理由 该集群包含一篇发表在arXiv上的学术论文。[lever_c_demoted from research: ic=1 ai=0.1]

在 arXiv cs.AI 阅读 →

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研究分析课堂投票以评估学生参与度和学习情况

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Signal score
3 / 100
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该集群包含一篇发表在arXiv上的学术论文。[lever_c_demoted from research: ic=1 ai=0.1]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, other
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Low
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Rohit Sharma, Pavani Ayinampudi, Aditya B. M. V., Jinal Gupta, Prakash Hegade, Sakshi Sharma, Meenakshi V, SRS Iyengar ·

    通过对实时课堂互动进行语境化分析来刻画提问模式和学生参与度

    arXiv:2609.38907v1 Announce Type: cross Abstract: Real-time classroom polling is now routine, yet the data it produces is usually read narrowly, as a correctness score or a headcount. Such readings say little about what a poll is doing within a lecture or how it shapes engagement…